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This release is a pre-release and may not be stable for production use.


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SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides:

  • An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols.
  • A device flow layer modeling higher algorithms as device object flow and DAG.
  • An algorithm layer to do data analysis and machine learning with horizontal or vertical partitioned data.
  • A workflow layer that seamlessly integrates data processing, model training, and hyperparameter tuning.

Documentation

SecretFlow Related Projects

  • Kuscia: A lightweight privacy-preserving computing task orchestration framework based on K3s.
  • SCQL: A system that allows multiple distrusting parties to run joint analysis without revealing their private data.
  • SPU: A provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
  • HEU: A high-performance homomorphic encryption algorithm library.
  • YACL: A C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Learn PETs

We also provide a curated list of papers and SecretFlow's tutorials on Privacy-Enhancing Technologies (PETs).

Please check AWESOME-PETS.md

Contributing

Please check CONTRIBUTING.md

Benchmarks

Please check OVERALL_BENCHMARK.md

Disclaimer

Non-release versions of SecretFlow are prohibited from using in any production environment due to possible bugs, glitches, lack of functionality, security issues or other problems.

Metadata

Release files for secretflow 1.5.0.dev20240321

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for secretflow 1.5.0.dev20240321
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secretflow-1.5.0.dev20240321-cp311-cp311-manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
secretflow-1.5.0.dev20240321-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details
secretflow-1.5.0.dev20240321-cp310-cp310-manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
secretflow-1.5.0.dev20240321-cp310-cp310-macosx_12_0_arm64.whl CPython 3.10 CPython 3.10 macOS 12.0+ ARM64 Details
secretflow-1.5.0.dev20240321-cp39-cp39-manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
secretflow-1.5.0.dev20240321-cp39-cp39-macosx_12_0_arm64.whl CPython 3.9 CPython 3.9 macOS 12.0+ ARM64 Details

Total release size: 20.4 MB

Release files / secretflow-1.5.0.dev20240321-cp311-cp311-manylinux2014_x86_64.whl

Download URL secretflow-1.5.0.dev20240321-cp311-cp311-manylinux2014_x86_64.whl
Size 4.5 MB
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Release files / secretflow-1.5.0.dev20240321-cp311-cp311-macosx_12_0_arm64.whl

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Release files / secretflow-1.5.0.dev20240321-cp310-cp310-manylinux2014_x86_64.whl

Download URL secretflow-1.5.0.dev20240321-cp310-cp310-manylinux2014_x86_64.whl
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Release files / secretflow-1.5.0.dev20240321-cp310-cp310-macosx_12_0_arm64.whl

Download URL secretflow-1.5.0.dev20240321-cp310-cp310-macosx_12_0_arm64.whl
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Release files / secretflow-1.5.0.dev20240321-cp39-cp39-manylinux2014_x86_64.whl

Download URL secretflow-1.5.0.dev20240321-cp39-cp39-manylinux2014_x86_64.whl
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Release files / secretflow-1.5.0.dev20240321-cp39-cp39-macosx_12_0_arm64.whl

Download URL secretflow-1.5.0.dev20240321-cp39-cp39-macosx_12_0_arm64.whl
Size 2.3 MB
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This release
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